Advances in Web Mining and Web Usage Analysis

Olfa Nasraoui

ISBN 10: 3540463461 / ISBN 13: 9783540463467

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2006, 2006

Riguardo questo articolo

Neuware -Thisbookcontainsthepostworkshopproceedingsofthe7thInternationalWo- shop on Knowledge Discovery from the Web, WEBKDD 2005. The WEBKDD workshop series takes place as part of the ACM SIGKDD International Conf- ence on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the an- ysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysisofdata pertinentto theWeb.Web mining methods areappliedonusage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. In the last years, the interest for the Web as medium for communication, interaction and business has led to new challenges and to intensive, dedicated research. Many of the infancy problems in Web mining have now been solved but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.

Codice articolo 9783540463467

Dati bibliografici

• Titolo: Advances in Web Mining and Web Usage Analysis
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2006
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540463461
• ISBN 13: 9783540463467
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 11 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 11 millimetri di profondità
• Peso: 306 grammi

Descrizione articolo

Riassunto

This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Mining Web Data, WEBKDD 2005, held in Chicago, IL, USA in August 2005 in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2005. The nine revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected for inclusion in the book.

Contenuti

Mining Significant Usage Patterns from Clickstream Data.- Using and Learning Semantics in Frequent Subgraph Mining.- Overcoming Incomplete User Models in Recommendation Systems Via an Ontology.- Data Sparsity Issues in the Collaborative Filtering Framework.- USER: User-Sensitive Expert Recommendations for Knowledge-Dense Environments.- Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation.- Adaptive Web Usage Profiling.- On Clustering Techniques for Change Diagnosis in Data Streams.- Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks.